SARS-CoV pathways associated to mitosis and viral infection

The section of the network we review in this page is composed by pathways involved in mitosis and viral infection. Both so different biological roles are connected by the heat shock protein HSP90, engaging by its double role of chaperone required for viral infection and regulator of the metaphase-anaphase transition.  This section corresponds to one of the modules identified in the SARS CoV pathways analysis section in this web site.



First, we can have a look at the pathway/gene network graph. Key network components are kinesins, aurora kinases, cyclins and cyclin-dependent kinases, protein phosphatases and heat-shock proteins.  


Gene-pathways association map for this module. Node size by predicted activity against coronavirus aggregated at the node level.



Next, observe how pathways in this module score in this aggregation scatter plot.


Pathways scores for coronavirus obtained from aggregation of the target/pathways association map values. Log10SumPositiveInteractions.- Logged addition of all active interactions of predicted SARS active molecules with all the proteins belonging each pathway. AggregatedSarsScore.- Average value of predicted activity against SARS viruses aggregated at the pathway level from the values assigned to each protein/gene. [[activeTargetsInPathway]] / [proteinsInPathway]]].- Number of proteins considered relevant for SARS coronavirus infection in a particular pathway vs the total number of protein of that pathway referred in the ChEMBL DB. CombinedScore.- Linear combination of the number of evidences supporting a score (log10SumPositiveInteractions) and the predicted score from aggregation for a pathway (aggregatedSarsScore).



And how pathways in this module score in the volcano enrichment plot.


Volcano plot displaying the relationship between enrichmentScore and negative value of the flagged false discovery rate (-log10FDR). Size and colors by the aggregation scores described for the aggregation chart. Dotted line marks the 0.05 pValue threshold. Pathways in this module flagged.



Aggregation and enrichment scores are ranked in the bar chart below. 


Best scored pathways bar chart. Pathways ranked by its overall combination of scores.



We can also visualize GSEA Enrichment plots for some representative pathways. 


For full reference, see Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles.and ReactomePA: an R/Bioconductor package for reactome pathway analysis and visualization.“. 


GSEA enrichment plots for four representative pathways in this module.



By using Reactome pathways hierarchies, we can identify additional biological roles to be played with associations  of pathways in this module with same and higher level pathways. 


high-low level pathways associations graph set by pathways in this module. Reactome low level pathways. Node size by predicted activity against coronavirus aggregated at the pathway level.



This hierarchical association with different level pathways can also be visualized  in a tree map, where parent pathways in headings embrace their child partners, sized and colored by their respective scores as described in the legend.